Abstract
This paper aims at studying a broad class of mathematical programming with non-differentiable vanishing constraints. First, we are interested in some various qualification conditions for the problem. Then, these constraint qualifications are applied to obtain, under different conditions, several stationary conditions of type Karush/Kuhn–Tucker.
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Achtziger, W., Kanzow, C.: Mathematical programs with vanishing constraints: optimality conditions and constraint qualifications. Math. Program. 114, 69–99 (2007)
Hoheisel, T., Kanzow, C.: First- and second-order optimality conditions for mathematical programs with vanishing constraints. Appl. Math. 52, 495–514 (2007)
Ansari Ardali, A., Movahedian, N., Nobakhtian, S.: Optimality conditions for nonsmooth mathematical programs with equilibrium constraints, using convexificators. Optimization 65, 67–85 (2016)
Kanzi, N., Nobakhtian, S.: Nonsmooth multiobjective semi-infinite problems with mixed constraints. Pac. J. Optim. 13, 43–53 (2017)
Pandey, Y., Mishra, S.K.: Duality for nonsmooth optimization problems with equilibrium constraints, using convexificators. J. Optim. Theory Appl. 171, 694–707 (2016)
Bigi, G., Pappalardo, M., Passacantando, M.: Optimization tools for solving equilibrium problems with nonsmooth data. J. Optim. Theory Appl. 171, 887–905 (2016)
Chieu, N.H., Lee, G.M.: Constraint qualifications for mathematical programs with equilibrium constraints and their local preservation property. J. Optim. Theory Appl. 163, 755–776 (2014)
Movahedian, N.: Bounded Lagrange multiplier rules for general nonsmooth problems and application to mathematical programs with equilibrium constraints. J. Global Optim. 67, 829–850 (2017)
Luu, D.V.: Optimality condition for local efficient solutions of vector equilibrium problems via convexificators and applications. J. Optim. Theory Appl. 171, 643–665 (2016)
Hoheisel, T., Kanzow, C.: Stationarity conditions for mathematical programs with vanishing constraints using weak constraint qualifications. J. Math. Anal. Appl. 337, 292–310 (2008)
Hoheisel, T., Kanzow, C.: On the Abadie and Guignard constraint qualifications for mathematical programs with vanishing constraints. Optimization 58, 431–448 (2009)
Hoheisel, T., Kanzow, C., Outrata, J.: Exact penalty results for mathematical programs with vanishing constraints. Nonlinear Anal. 72, 2514–2526 (2010)
Achtziger, W., Hoheisel, T., Kanzow, C.: A smoothing-regularization approach to mathematical programs with vanishing constraints. Comput. Optim. Appl. 55, 733–767 (2013)
Izmailov, A.F., Solodov, M.V.: Mathematical programs with vanishing constraints: optimality conditions, sensitivity, and a relaxation method. J. Optim. Theory Appl. 142, 501–532 (2009)
Izmailov, A.F., Pogosyan, A.L.: Optimality conditions and Newton-type methods for mathematical programs with vanishing constraints. Comput. Math. Math. Phys. 49, 1128–1140 (2009)
Mishra, S.K., Singh, V., Laha, V.: On duality for mathematical programs with vanishing constraints. Annal. Oper. Res. 243, 249–272 (2016)
Mordukhovich, B.: Optimization and equilibrium problems with equilibrium constraints in infinite-dimensional spaces. Optimization 57, 715–741 (2008)
Clarke, F.H.: Optimization and Nonsmooth Analysis. Wiley, Hoboken (1983)
Giorgi, G., Gwirraggio, A., Thierselder, J.: Mathematics of Optimization; Smooth and Nonsmooth cases. Elsevier, Amsterdam (2004)
Hiriart- Urruty, J.B., Lemarechal, C.: Convex Analysis and Minimization Algorithms, I & II. Springer, Berlin (1991)
Halkin, H.: Implicit functions and optimization problems without continuous differentiability of the data. SIAM J. Control 12, 229–236 (1974)
Burke, J.V., Lewis, A.S., Overton, M.L.: Approximating subdifferentials by random sampling of gradients. Math. Oper. Res. 27, 567–584 (2002)
Burke, J.V., Lewis, A.S., Overton, M.L.: A robust gradient sampling algorithm for nonsmooth, nonconvex optimization. SIAM J. Optim. 15, 751–779 (2005)
Acknowledgements
The authors are very grateful to the referees for their constructive comments. Also, we express our thanks to Professor M. Soleimani-damaneh for suggesting the conclusions of the paper.
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Kazemi, S., Kanzi, N. Constraint Qualifications and Stationary Conditions for Mathematical Programming with Non-differentiable Vanishing Constraints. J Optim Theory Appl 179, 800–819 (2018). https://doi.org/10.1007/s10957-018-1373-7
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DOI: https://doi.org/10.1007/s10957-018-1373-7